Nature of selective constraints on synonymous codon usage of rice differs in GC-poor and GC-rich genes

Synonymous codon usage and cellular tRNA abundance are thought to be co-evolved in optimizing translational efficiencies in highly expressed genes. Here in this communication by taking the advantage of publicly available gene expression data of rice and Arabidopsis we demonstrated that tRNA gene copy number is not the only driving force favoring translational selection in all highly expressed genes of rice. We found that forces favoring translational selection differ between GC-rich and GC-poor classes of genes. Supporting our results we also showed that, in highly expressed genes of GC-poor class there is a perfect correspondence between majority of preferred codons and tRNA gene copy number that confers translational efficiencies to this group of genes. However, tRNA gene copy number is not fully consistent with models of translational selection in GC-rich group of genes, where constraints on mRNA secondary structure play a role to optimize codon usage in highly expressed genes.     

Synonymous codon usage analysis of the mycobacteriophage Bxz1 and its plating bacteria M. smegmatis: identification of highly and lowly expressed genes of Bxz1 and the possible function of its tRNA species

The extent of codon usage in the protein coding genes of the mycobacteriophage, Bxz1, and its plating bacteria, M. smegmatis, were determined, and it was observed that the codons ending with either G and / or C were predominant in both the organisms. Multivariate statistical analysis showed that in both organisms, the genes were separated along the first major explanatory axis according to their expression levels and their genomic GC content at the synonymous third positions of the codons. The second major explanatory axis differentiates the genes according to their genome type. A comparison of the relative synonymous codon usage between 20 highly- and 20 lowly expressed genes from Bxz1 identified 21 codons, which are statistically over represented in the former group of genes. Further analysis found that the Bxz1- specific tRNA species could recognize 13 out of the 21 over represented synonymous codons, which incorporated 13 amino acid residues preferentially into the highly expressed proteins of Bxz1. In contrast, seven amino acid residues were preferentially incorporated into the lowly expressed proteins by 10 other tRNA species of Bxz1. This analysis predicts for the first time that the Bxz1-specific tRNA species modulates the optimal expression of its proteins during development.     

Gene expression level shapes the amino acid usages in Prochlorococcus marinus MED4

Prochlorococcus species are the first example of free-living bacteria with reduced genome. Codon and amino acid usages bias of Prochlorococcus marinus MED4 was investigated using all protein coding genes having length greater than or equal to 100 amino acids. Correspondence analysis on relative synonymous codon usage (RSCU) values shows that there is no such influence of translational selection in shaping the codon usage variation among the genes in this organism. However, amino acid usages were markedly different between the highly and lowly expressed genes in this organism and in particular, GC rich amino acids were found to occur significantly higher in highly expressed genes than the lowly expressed genes. Comparative analysis of the homologous genes of Synechococcus sp. WH8102 and Prochlorococcus marinus MED4 shows that amino acids conservation in highly expressed genes is significantly higher than lowly expressed genes. Based on our results we concluded that conservation of GC rich amino acids in the highly expressed genes to its ancestor is the major source of variation in amino acid usages in the organism.     

Codon bias as a factor in regulating expression via translation rate in the human genome

We study the interrelations between tRNA gene copy numbers, gene expression levels and measures of codon bias in the human genome. First, we show that isoaccepting tRNA gene copy numbers correlate positively with expression-weighted frequencies of amino acids and codons. Using expression data of more than 14,000 human genes, we show a weak positive correlation between gene expression level and frequency of optimal codons (codons with highest tRNA gene copy number). Interestingly, contrary to non-mammalian eukaryotes, codon bias tends to be high in both highly expressed genes and lowly expressed genes. We suggest that selection may act on codon bias, not only to increase elongation rate by favoring optimal codons in highly expressed genes, but also to reduce elongation rate by favoring non-optimal codons in lowly expressed genes. We also show that the frequency of optimal codons is in positive correlation with estimates of protein biosynthetic cost, and suggest another possible action of selection on codon bias: preference of optimal codons as production cost rises, to reduce the rate of amino acid misincorporation. In the analyses of this work, we introduce a new measure of frequency of optimal codons (FOP'), which is unaffected by amino acid composition and is corrected for background nucleotide content; we also introduce a new method for computing expected codon frequencies, based on the dinucleotide composition of the introns and the non-coding regions surrounding a gene.     

Protein secondary structural types are differentially coded on messenger RNA.

Tricodon regions on messenger RNAs corresponding to a set of proteins from Escherichia coli were scrutinized for their translation speed. The fractional frequency values of the individual codons as they occur in mRNAs of highly expressed genes from Escherichia coli were taken as an indicative measure of the translation speed. The tricodons were classified by the sum of the frequency values of the constituent codons. Examination of the conformation of the encoded amino acid residues in the corresponding protein tertiary structures revealed a correlation between codon usage in mRNA and topological features of the encoded proteins. Alpha helices on proteins tend to be preferentially coded by translationally fast mRNA regions while the slow segments often code for beta strands and coil regions. Fast regions correspondingly avoid coding for beta strands and coil regions while the slow regions similarly move away from encoding alpha helices. Structural and mechanistic aspects of the ribosome peptide channel support the relevance of sequence fragment translation and subsequent conformation. A discussion is presented relating the observation to the reported kinetic data on the formation and stabilization of protein secondary structural types during protein folding. The observed absence of such strong positive selection for codons in non-highly expressed genes is compatible with existing theories that mutation pressure may well dominate codon selection in non-highly expressed genes.     

Translation in Bacillus subtilis: roles and trends of initiation and termination, insights from a genome analysis.

We analysed the Bacillus subtilis protein coding sequences termini, and compared it to other genomes. The analysis focused on signals, com-positional biases of nucleotides, oligonucleotides, codons and amino acids and mRNA secondary structure. AUG is the preferred start codon in all genomes, independent of their G+C content, and seems to induce less stable mRNA structures. However, it is not conserved between homologous genes neither is it preferred in highly expressed genes. In B.subtilis the ribosome binding site is very strong. We found that downstream boxes do not seem to exist either in Escherichia coli or in B.subtilis. UAA stop codon usage is correlated with the G+C content and is strongly selected in highly expressed genes. We found less stable mRNA structures at both termini, which we related to mRNA-ribosome and mRNA-release-factor interactions. This pattern seems to impose a peculiar A-rich nucleotide and codon usage bias in these regions. Finally the analysis of all proteins from B.subtilis revealed a similar amino acid bias near both termini of proteins consisting of over-representation of hydrophilic residues. This bias near the stop codon is partially release-factor specific.     

Differential Selective Constraints Shaping Codon Usage Pattern of Housekeeping and Tissue-specific Homologous Genes of Rice and Arabidopsis

Intra-genomic variation between housekeeping and tissue-specific genes has always been a study of interest in higher eukaryotes. To-date, however, no such investigation has been done in plants. Availability of whole genome expression data for both rice and Arabidopsis has made it possible to examine the evolutionary forces in shaping codon usage pattern in both housekeeping and tissue-specific genes in plants. In the present work, we have taken 4065 rice–Arabidopsis homologous gene pairs to study evolutionary forces responsible for codon usage divergence between housekeeping and tissue-specific genes. In both rice and Arabidopsis, it is mutational bias that regulates error minimization in highly expressed genes of both housekeeping and tissue-specific genes. Our results show that, in comparison to tissue-specific genes, housekeeping genes are under strong selective constraint in plants. However, in tissue-specific genes, lowly expressed genes are under stronger selective constraint compared with highly expressed genes. We demonstrated that constraint acting on mRNA secondary structure is responsible for modulating codon usage variations in rice tissue-specific genes. Thus, different evolutionary forces must underline the evolution of synonymous codon usage of highly expressed genes of housekeeping and tissue-specific genes in rice and Arabidopsis.Key words: error minimization, housekeeping, mRNA folding energy, synonymous rates, tissue specific, tRNA copy number     

Codon replacement in the PGK1 gene of Saccharomyces cerevisiae: experimental approach to study the role of biased codon usage in gene expression.

The coding sequences of genes in the yeast Saccharomyces cerevisiae show a preference for 25 of the 61 possible coding triplets. The degree of this biased codon usage in each gene is positively correlated to its expression level. Highly expressed genes use these 25 major codons almost exclusively. As an experimental approach to studying biased codon usage and its possible role in modulating gene expression, systematic codon replacements were carried out in the highly expressed PGK1 gene. The expression of phosphoglycerate kinase (PGK) was studied both on a high-copy-number plasmid and as a single copy gene integrated into the chromosome. Replacing an increasing number (up to 39% of all codons) of major codons with synonymous minor ones at the 5' end of the coding sequence caused a dramatic decline of the expression level. The PGK protein levels dropped 10-fold. The steady-state mRNA levels also declined, but to a lesser extent (threefold). Our data indicate that this reduction in mRNA levels was due to destabilization caused by impaired translation elongation at the minor codons. By preventing translation of the PGK mRNAs by the introduction of a stop codon 3' and adjacent to the start codon, the steady-state mRNA levels decreased dramatically. We conclude that efficient mRNA translation is required for maintaining mRNA stability in S. cerevisiae. These findings have important implications for the study of the expression of heterologous genes in yeast cells.     

Preferential codon usage in prokaryotic genes: the optimal codon-anticodon interaction energy and the selective codon usage in efficiently expressed genes

By considering the nucleotide sequence of several highly expressed coding regions in bacteriophage MS2 and mRNAs from Escherichia coli, it is possible to deduce some rules which govern the selection of the most appropriate synonymous codons NNU or NNC read by tRNAs having GNN, QNN or INN as anticodon. The rules fit with the general hypothesis that an efficient in-phase translation is facilitated by proper choice of degenerate codewords promoting a codon-anticodon interaction with intermediate strength (optimal energy) over those with very strong or very weak interaction energy. Moreover, codons corresponding to minor tRNAs are clearly avoided in these efficiently expressed genes. These correlations are clearcut in the normal reading frame but not in the corresponding frameshift sequences +1 and +2. We hypothesize that both the optimization of codon-anticodon interaction energy and the adaptation of the population to codon frequency or vice versa in highly expressed mRNAs of E. coli are part of a strategy that optimizes the efficiency of translation. Conversely, codon usage in weakly expressed genes such as repressor genes follows exactly the opposite rules. It may be concluded that, in addition to the need for coding an amino acid sequence, the energetic consideration for codon-anticodon pairing, as well as the adaptation of codons to the tRNA population, may have been important evolutionary constraints on the selection of the optimal nucleotide sequence.     

How optimized is the translational machinery in Escherichia coli,Salmonella typhimurium and Saccharomyces cerevisiae?

The optimization of the translational machinery in cells requires the mutual adaptation of codon usage and tRNA concentration, and the adaptation of tRNA concentration to amino acid usage. Two predictions were derived based on a simple deterministic model of translation which assumes that elongation of the peptide chain is rate-limiting. The highest translational efficiency is achieved when the codon recognized by the most abundant tRNA reaches the maximum frequency. For each codon family, the tRNA concentration is optimally adapted to codon usage when the concentration of different tRNA species matches the square-root of the frequency of their corresponding synonymous codons. When tRNA concentration and codon usage are well adapted to each other, the optimal content of all tRNA species carrying the same amino acid should match the square-root of the frequency of the amino acid. These predictions are examined against empirical data from Escherichia coli, Salmonella typhimurium, and Saccharomyces cerevisiae.     

Studies on codon usage in Entamoeba histolytica

Codon usage bias of Entamoeba histolytica, a protozoan parasite, was investigated using the available DNA sequence data. Entamoeba histolytica having AT rich genome, is expected to have A and/or T at the third position of codons. Overall codon usage data analysis indicates that A and/or T ending codons are strongly biased in the coding region of this organism. However, multivariate statistical analysis suggests that there is a single major trend in codon usage variation among the genes. The genes which are supposed to be highly expressed are clustered at one end, while the majority of the putatively lowly expressed genes are clustered at the other end. The codon usage pattern is distinctly different in these two sets of genes. C ending codons are significantly higher in the putatively highly expressed genes suggesting that C ending codons are translationally optimal in this organism. In the putatively lowly expressed genes A and/or T ending codons are predominant, which suggests that compositional constraints are playing the major role in shaping codon usage variation among the lowly expressed genes. These results suggest that both mutational bias and translational selection are operational in the codon usage variation in this organism.     

Codon usage in regulatory genes in Escherichia coli does not reflect selection for ''rare'' codons.

It has often been suggested that differential usage of codons recognized by rare tRNA species, i.e. "rare codons", represents an evolutionary strategy to modulate gene expression. In particular, regulatory genes are reported to have an extraordinarily high frequency of rare codons. From E. coli we have compiled codon usage data for highly expressed genes, moderately/lowly expressed genes, and regulatory genes. We have identified a clear and general trend in codon usage bias, from the very high bias seen in very highly expressed genes and attributed to selection, to a rather low bias in other genes which seems to be more influenced by mutation than by selection. There is no clear tendency for an increased frequency of rare codons in the regulatory genes, compared to a large group of other moderately/lowly expressed genes with low codon bias. From this, as well as a consideration of evolutionary rates of regulatory genes, and of experimental data on translation rates, we conclude that the pattern of synonymous codon usage in regulatory genes reflects primarily the relaxation of natural selection.